Marek Kulbacki

463 total citations
21 papers, 189 citations indexed

About

Marek Kulbacki is a scholar working on Computer Vision and Pattern Recognition, Biotechnology and Biomedical Engineering. According to data from OpenAlex, Marek Kulbacki has authored 21 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Biotechnology and 4 papers in Biomedical Engineering. Recurrent topics in Marek Kulbacki's work include Microbial Inactivation Methods (5 papers), Human Pose and Action Recognition (3 papers) and Microfluidic and Bio-sensing Technologies (3 papers). Marek Kulbacki is often cited by papers focused on Microbial Inactivation Methods (5 papers), Human Pose and Action Recognition (3 papers) and Microfluidic and Bio-sensing Technologies (3 papers). Marek Kulbacki collaborates with scholars based in Poland, Australia and United States. Marek Kulbacki's co-authors include Julita Kulbacka, Jakub Segen, Ryszard Klempous, Jan Nikodem, Magda Dubińska–Magiera, Małgorzata Kotulska, Anna Choromańska, Nina Rembiałkowska, Paweł Mielnik and Zenon Chaczko and has published in prestigious journals such as International Journal of Molecular Sciences, Archives of Biochemistry and Biophysics and Sensors.

In The Last Decade

Marek Kulbacki

19 papers receiving 183 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marek Kulbacki Poland 6 41 40 38 32 21 21 189
Yongquan Lu China 8 25 0.6× 59 1.5× 6 0.2× 24 0.8× 11 0.5× 45 312
Pengfei Fan China 9 14 0.3× 93 2.3× 5 0.1× 21 0.7× 17 0.8× 20 302
Xianzhong Ding United States 10 31 0.8× 27 0.7× 24 0.6× 5 0.2× 39 1.9× 23 321
Sangwoong Yoon South Korea 8 28 0.7× 80 2.0× 76 2.0× 75 2.3× 13 0.6× 12 244
S. Pavithra India 9 41 1.0× 27 0.7× 4 0.1× 12 0.4× 44 2.1× 48 248
Wael M. Elmessery Egypt 9 31 0.8× 42 1.1× 5 0.1× 19 0.6× 32 1.5× 30 224
Mengge Liu China 8 25 0.6× 3 0.1× 20 0.5× 40 1.3× 7 0.3× 30 299
Liangxu Liu China 10 16 0.4× 5 0.1× 7 0.2× 32 1.0× 34 1.6× 29 292
Luyao Yang China 7 48 1.2× 96 2.4× 5 0.1× 15 0.5× 21 1.0× 20 289

Countries citing papers authored by Marek Kulbacki

Since Specialization
Citations

This map shows the geographic impact of Marek Kulbacki's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marek Kulbacki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek Kulbacki more than expected).

Fields of papers citing papers by Marek Kulbacki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marek Kulbacki. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marek Kulbacki. The network helps show where Marek Kulbacki may publish in the future.

Co-authorship network of co-authors of Marek Kulbacki

This figure shows the co-authorship network connecting the top 25 collaborators of Marek Kulbacki. A scholar is included among the top collaborators of Marek Kulbacki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marek Kulbacki. Marek Kulbacki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kulbacki, Marek, et al.. (2025). Exploring the mechanical and electrical properties of cancer cells for improved diagnosis and treatment. Archives of Biochemistry and Biophysics. 773. 110599–110599.
2.
Kulbacki, Marek, et al.. (2025). Atypical Lead Pathway Leading to Vocal Cord Paralysis and Tracheostomy Following Pacemaker Implantation. Journal of Clinical Medicine. 14(13). 4395–4395.
3.
Kulbacki, Marek, et al.. (2024). A Review of the Weaponization of IoT: Security Threats and Countermeasures. 279–284. 2 indexed citations
4.
Kulbacki, Marek, Jakub Segen, Zenon Chaczko, et al.. (2023). Intelligent Video Analytics for Human Action Recognition: The State of Knowledge. Sensors. 23(9). 4258–4258. 8 indexed citations
5.
Kulbacka, Julita, Nina Rembiałkowska, Anna Szewczyk, et al.. (2022). Nanosecond PEF Induces Oxidative Stress and Apoptosis via Proteasomal Activity Inhibition in Gastric Adenocarcinoma Cells with Drug Resistance. International Journal of Molecular Sciences. 23(21). 12943–12943. 5 indexed citations
6.
Kulbacka, Julita, Anna Choromańska, Anna Szewczyk, et al.. (2022). Nanoelectropulse delivery for cell membrane perturbation and oxidation in human colon adenocarcinoma cells with drug resistance. Bioelectrochemistry. 150. 108356–108356. 6 indexed citations
7.
8.
Kulbacki, Marek, et al.. (2021). Applications of Tags in Multimodal Analysis of Motion Ergonomics for Healthcare Environments. Acta Polytechnica Hungarica. 18(10). 7–20. 2 indexed citations
9.
Klempous, Ryszard, et al.. (2021). People Lifting Patterns—A Reference Dataset for Practitioners. Sensors. 21(9). 3142–3142. 5 indexed citations
10.
Chaczko, Zenon, et al.. (2021). In Your Face: Person Identification Through Ratios and Distances Between Facial Features. Vietnam Journal of Computer Science. 9(2). 187–202. 5 indexed citations
11.
Segen, Jakub, et al.. (2018). Detection of linear features including bone and skin areas in ultrasound images of joints. PeerJ. 6. e4411–e4411. 3 indexed citations
12.
Kulbacki, Marek, et al.. (2018). Survey of Drones for Agriculture Automation from Planting to Harvest. 353–358. 76 indexed citations
13.
Klempous, Ryszard, et al.. (2018). Review of Algorithms for Tag Detection in Video Sequences. 104. 359–364. 4 indexed citations
14.
Kulbacki, Marek, et al.. (2017). Analysis, Recognition, and Classification of Biological Membrane Images. Advances in anatomy, embryology and cell biology. 227. 119–140. 1 indexed citations
15.
Mielnik, Paweł, et al.. (2017). A Novel Method of Synovitis Stratification in Ultrasound Using Machine Learning Algorithms: Results From Clinical Validation of the MEDUSA Project. Ultrasound in Medicine & Biology. 44(2). 489–494. 14 indexed citations
16.
Kulbacka, Julita, Kazimiera A. Wilk, Magda Dubińska–Magiera, et al.. (2016). The Effect of Millisecond Pulsed Electric Fields (msPEF) on Intracellular Drug Transport with Negatively Charged Large Nanocarriers Made of Solid Lipid Nanoparticles (SLN): In Vitro Study. The Journal of Membrane Biology. 249(5). 645–661. 17 indexed citations
17.
18.
Kulbacka, Julita, Małgorzata Daczewska, Magda Dubińska–Magiera, et al.. (2014). Doxorubicin delivery enhanced by electroporation to gastrointestinal adenocarcinoma cells with P-gp overexpression. Bioelectrochemistry. 100. 96–104. 29 indexed citations
19.
Klempous, Ryszard, et al.. (2005). PDE-based filtering of motion sequences. Journal of Computational and Applied Mathematics. 189(1-2). 660–675. 3 indexed citations
20.
Kulbacki, Marek, et al.. (2004). Learning from Examples and Comparing Models of Human Motion. Journal of Advanced Computational Intelligence and Intelligent Informatics. 8(5). 477–481. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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